08
Case 08RAGChat + OmniBot

HR& INTERNAL OPS

Employee self-service assistant for policies, benefits, and procedures

RAGChatOmniBot
Systems:2
Journey Steps:6
Tech Components:8

The Problem

HR teams answering the same handbook questions every day

01

Employees repeatedly ask about PTO policies, benefits enrollment, and expense procedures

02

HR spends significant time on questions that are already answered in the employee handbook

03

Policy documents get updated but employees don't re-read them — they just ask HR again

04

Remote teams in different time zones need answers outside standard business hours

The Solution

Internal AI assistant trained on company policies and handbooks

An AI assistant trained on your employee handbook, benefits guides, expense policies, and onboarding documents. Available via internal chat widget for office employees and WhatsApp for remote teams. Every answer cites the specific policy document for accountability.

System Capabilities

[01]Document ingestion for handbooks and policy docs
[02]Citation-backed answers with policy references
[03]Multi-channel: internal widget + WhatsApp for remote teams
[04]GDPR compliance toolkit for employee data
[05]Knowledge gap detection for outdated policies
[06]Analytics on most-asked questions

User Journey

Step-by-step flow from initial contact to resolution

01

Employee asks a policy question

RAGChat

"How many PTO days do I get after 2 years?" — via internal chat widget

02

Employee handbook searched

RAGChat

RAG retrieves the PTO policy section from the employee handbook

03

Cited response delivered

RAGChat

Employee receives the exact policy with page reference from the handbook

04

Remote employee asks same question

OmniBot

Team member in a different time zone asks at midnight via WhatsApp

05

Same KB, different channel

OmniBot

Identical accurate answer delivered on WhatsApp — same knowledge base, consistent information

06

HR reviews analytics

RAGChat

Dashboard shows PTO is the most asked topic — HR decides to send a policy reminder

Pipeline Complete — 6 Steps

System Architecture

How data flows through the system for this use case

system-architecture.flow
N01

Employee

Internal widget or WhatsApp

N02

Channel Router

OmniBot multi-channel ingress

N03

RAG Pipeline

Employee handbook + policy KB

N04

LLM Engine

Citation-backed policy answers

N05

HR Dashboard

Question analytics + gap reports

//

Employees ask questions through the internal widget or WhatsApp. OmniBot routes messages through the RAG pipeline which searches employee handbooks and policy documents. Responses cite specific policy sections. HR gets analytics on question patterns and knowledge gap reports.

Tech Stack

Technologies powering this solution

01FastAPI
02Pinecone
03Groq / OpenAI
04WhatsApp API
05Chat Widget
06GDPR Toolkit
07Redis Cache
08PostgreSQL
Ready to Deploy

Deploy This Solution

Custom-built for your specific documents, workflows, and channels.

HR & INTERNAL OPS — Fenlo AI Use Cases | Fenlo AI